Beschreibung:

This textbook presents the design and analysis of experiments that comprise the aspects of classical theory for continuous response, modern procedures for categorical response, and especially for correlated categorical response.This book is the third revised and updated English edition of the German textbook \Versuchsplanung und Modellwahl" by Helge Toutenburg which was based on more than 15 years experience of lectures on the course \- sign of Experiments" at the University of Munich and interactions with the statisticians from industries and other areas of applied sciences and en- neering. This is a type of resource/ reference book which contains statistical methods used by researchers in applied areas. Because of the diverse ex- ples combined with software demonstrations it is also useful as a textbook in more advanced courses, The applications of design of experiments have seen a signi?cant growth in the last few decades in di?erent areas like industries, pharmaceutical sciences, medical sciences, engineering sciences etc. The second edition of this book received appreciation from academicians, teachers, students and applied statisticians. As a consequence, Springer-Verlag invited Helge Toutenburg to revise it and he invited Shalabh for the third edition of the book. In our experience with students, statisticians from industries and - searchers from other ?elds of experimental sciences, we realized the importance of several topics in the design of experiments which will - crease the utility of this book. Moreover we experienced that these topics are mostly explained only theoretically in most of the available books.Introduction.- Comparison of two samples.- The linear regression model.- Single-factor experiments with fixed and random effects.- More restrictive designs.- Incomplete block designs.- Multifactor experiments.- Models for categorical response variables.- Repeated measures model.- Cross-over design. - Statistical analysis of incomplete data.From the reviews of the second edition:

"[This book] is a useful reference or graduate text to complement more common choices for introductory design of experiment books ... the methods are logically and thoroughly developed in a rigorous, yet understandable manner. The emphasis on pharmaceutical applications throughout the book is helpful, because this continues to emerge as an important area of applications. The book would be helpful for statisticians and researchers in pharmaceutical areas once they had gained a solid understanding of the fundamentals of design of experiments." -Journal of the American Statistical Association

"The second edition of this book ... has been reorganized with a list of topics similar to that of the first edition, but with a revised presentation and order. ... much greater emphasis now placed on the analysis aspect of design of experiments. ... a useful reference book or graduate text ... . The methods are logically and thoroughly developed in a rigorous, yet understandable manner. ... The book would be helpful for statisticians and researchers in pharmaceutical areas ... ." (Christine M. Anderson Cook, Journal of the American Statistical Association, Vol. 98 (463), 2003)

"This book is mostly concerned with the mathematical detail of the topics in the contents. There are a few sets of data, to illustrate the material; on these, SAS, S-PLUS or SPSS is used for analysis. ... This would be an excellent book for mathematics students who take a course in statistics, or graduate statistic students ... ." (N. R. Draper, Short Book Reviews, Vol. 23 (1), 2003)

"Helge Toutenburg describes this text as a 'resource/reference book which contains statistical methods used by researchers in applied areas.' ... the theory is described in a shorthand style that gets to the point without overburdening the reader with mathematical detail ... . the author includes thorough discussions of generalized linear models (categorical data analysis) and repeated-measures designs. ... a useful, self-contained reference for those who want a quick description of the underlying theory and practice for a large assortment of standard DOE problems." (Peter Wludyka, Technometrics, Vol. 45 (2), May, 2003)

From the reviews of the third edition:

"This book provides matter related to experimental designs which are of practical relevance. One can understand the subject matter without knowledge of high level mathematics. The book is suitable as a textbook for courses on experimental design in universities and institutions and as a resource book for researchers." (B. L. Agarwal, Zentralblatt MATH, Vol. 1211, 2011)1

Klappentext

This book is the third revised and updated English edition of the German textbook Versuchsplanung und Modellwahl" by Helge Toutenburg which was based on more than 15 years experience of lectures on the course - sign of Experiments" at the University of Munich and interactions with the statisticians from industries and other areas of applied sciences and en- neering. This is a type of resource/ reference book which contains statistical methods used by researchers in applied areas. Because of the diverse ex- ples combined with software demonstrations it is also useful as a textbook in more advanced courses, The applications of design of experiments have seen a signi?cant growth in the last few decades in di?erent areas like industries, pharmaceutical sciences, medical sciences, engineering sciences etc. The second edition of this book received appreciation from academicians, teachers, students and applied statisticians. As a consequence, Springer-Verlag invited Helge Toutenburg to revise it and he invited Shalabh for the third edition of the book. In our experience with students, statisticians from industries and - searchers from other ?elds of experimental sciences, we realized the importance of several topics in the design of experiments which will - crease the utility of this book. Moreover we experienced that these topics are mostly explained only theoretically in most of the available books.

The application of models are demonstrated by figures and data analysis